Publications

Visit my Google Scholar page here for a complete list of publications. * indicates a student author. † indicates corresponding author.

Preprints

E.C. Hector (2020+). Fused mean structure learning in data integration with dependence. arXiv, arXiv:2210.02198. [arXiv]. In review.
E.C. Hector† and R. Martin (2022+). Turning the information-sharing dial: efficient inference from different data sources. arXiv, arXiv:2207.08886. [arXiv], [researchers.one], code. In review.
J. Hickey*, J.P. Williams and E.C. Hector (2022+). Transfer learning with uncertainty quantification: Random Effect Calibration of Source to Target (RECaST). arXiv, arXiv:2211.16557. [arXiv], [researchers.one], code. In review.
W. Huang*, E.C. Hector, J. Cape and C. McKennan† (2023+). A statistical framework for GWAS of high dimensional phenotypes using summary statistics, with application to metabolite GWAS. arXiv, arXiv: 2303.10221. [arXiv].
C. Manschot* and E.C. Hector (2022+). Functional regression with intensively measured longitudinal outcomes: a new lens through data partitioning. arXiv, arXiv:2207.13014. [arXiv]. In review.

Peer-reviewed journal articles

E.C. Hector† and B.J. Reich (2023). Distributed inference for spatial extremes modeling in high dimensions. Journal of the American Statistical Association. doi: 10.1080/01621459.2023.2186886. Paper, [arXiv], code.
L. Luo, J. Wang and E.C. Hector† (2023). Statistical inference for streamed longitudinal data. Biometrika. doi: 10.1093/biomet/asad010. Invited for discussion. Paper, [arXiv], code.
E.C. Hector†, L. Luo and P.X.-K. Song (2023). Parallel-and-stream accelerator for computationally fast supervised learning. Computational Statistics and Data Analysis 177:107587. Paper, [arXiv].
L. Shi*, M. Wank*, Y. Chen*, Y. Wang*, Y. Liu, E.C. Hector, P.X.-K. Song (2023). Sleep classification with artificial synthetic imaging data from empatica E4 wristband by convolutional neural networks. IEEE Journal of Biomedical and Health Informatics 27(1):421-432. Paper.
E.C. Hector† and P.X.-K. Song (2022). Joint integrative analysis of multiple data sources with correlated vector outcomes. The Annals of Applied Statistics 16(3):1700-1717. Paper, [arXiv], code.
A.L. Sohn*, L. Ping, J.D. Glass, N.T. Seyfried, E.C. Hector, D.C. Muddiman (2022). Interrogating the Metabolomic Profile of Amyotrophic Lateral Sclerosis in the Post-Mortem Human Brain by Infrared Matrix-Assisted Laser Desorption Electrospray Ionization (IR-MALDESI) Mass Spectrometry Imaging (MSI). Metabolites 12(11), 1096. doi: 10.3390/metabo12111096. Paper.
J. Twiddy*, E.C. Hector, V Dubljević (2022). Perceived invasiveness and therapeutic acceptability of transcranial magnetic stimulation. American Journal of Bioethics –Neuroscience 14:1, 17-20, doi: 10.1080/21507740.2022.2150710. Paper.
X. Yin, L.S. Chan, D. Bose, A.U. Jackson, P. VandeHaar, A.E. Locke, C. Fuchsberger, H.M. Stringham, K. Yu, L. Fernandes Silva, D. Zhang, E.C. Hector, E. Young, L. Ganel, I. Das, H.J. Abel, M.R. Erdos, L.L. Bonnycastle, J. Kuusisto, N.O. Stitziel, I. Hall, G.R. Wagner, J. Kang, J. Morrison, C.F. Burant, F.S. Collins, S. Ripatti, A. Palotie, N.B. Freimer, K.L. Mohlke, L. Scott, X. Wen, E. Fauman, M. Laakso, M. Boehnke (2022). Genome-wide association studies of metabolites in Finnish men identify disease-relevant loci. Nature Communications, doi: 10.1038/s41467-022-29143-5. Paper.

E.C. Hector† and P.X.-K. Song (2021). A distributed and integrated method of moments for high-dimensional correlated data analysis. Journal of the American Statistical Association 116(534):805-818. Paper, [arXiv], code.

J.M. Goodrich, E.C. Hector, L. Tang, J.L. LaBarre, D.C. Dolinoy, A. Mercado-Garcia, A. Cantoral, P.X.-K. Song, M.M. Téllez-Rojo and K.E. Peterson (2020). Integrative analysis of gene-specific DNA methylation and untargeted metabolomics data from the ELEMENT cohort. Epigenetic Insights 13:1-10. doi: 10.1177/2516865720977888. Paper.
E.C. Hector† and P.X.-K. Song (2020). Doubly distributed supervised learning and inference with high-dimensional correlated outcomes. Journal of Machine Learning Research 21:1–35. Paper, [arXiv], code.
E.C. Jansen, E.C. Hector, J.M. Goodrich, A. Cantoral, M.M. Téllez Rojo, N. Basu, P.X.-K. Song, L. Torres Olascoaga, K.E. Peterson (2020). Mercury exposure in relation to sleep duration, timing, and fragmentation among adolescents in Mexico City. Environmental Research 191: 110216. doi: j.envres.2020.110216. Paper.

W. Perng, E.C. Hector, P.X.-K. Song, M.M. Téllez Rojo, S. Raskind, M. Kachman, A. Cantoral, B.F. Burant and K.E. Peterson (2017). Metabolomic determinants of metabolic risk in Mexican adolescents. Obesity (Silver Spring) . Paper.